{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing modules \n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from matplotlib import gridspec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>V1</th>\n",
       "      <th>V2</th>\n",
       "      <th>V3</th>\n",
       "      <th>V4</th>\n",
       "      <th>V5</th>\n",
       "      <th>V6</th>\n",
       "      <th>V7</th>\n",
       "      <th>V8</th>\n",
       "      <th>V9</th>\n",
       "      <th>...</th>\n",
       "      <th>V21</th>\n",
       "      <th>V22</th>\n",
       "      <th>V23</th>\n",
       "      <th>V24</th>\n",
       "      <th>V25</th>\n",
       "      <th>V26</th>\n",
       "      <th>V27</th>\n",
       "      <th>V28</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.359807</td>\n",
       "      <td>-0.072781</td>\n",
       "      <td>2.536347</td>\n",
       "      <td>1.378155</td>\n",
       "      <td>-0.338321</td>\n",
       "      <td>0.462388</td>\n",
       "      <td>0.239599</td>\n",
       "      <td>0.098698</td>\n",
       "      <td>0.363787</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.018307</td>\n",
       "      <td>0.277838</td>\n",
       "      <td>-0.110474</td>\n",
       "      <td>0.066928</td>\n",
       "      <td>0.128539</td>\n",
       "      <td>-0.189115</td>\n",
       "      <td>0.133558</td>\n",
       "      <td>-0.021053</td>\n",
       "      <td>149.62</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.191857</td>\n",
       "      <td>0.266151</td>\n",
       "      <td>0.166480</td>\n",
       "      <td>0.448154</td>\n",
       "      <td>0.060018</td>\n",
       "      <td>-0.082361</td>\n",
       "      <td>-0.078803</td>\n",
       "      <td>0.085102</td>\n",
       "      <td>-0.255425</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.225775</td>\n",
       "      <td>-0.638672</td>\n",
       "      <td>0.101288</td>\n",
       "      <td>-0.339846</td>\n",
       "      <td>0.167170</td>\n",
       "      <td>0.125895</td>\n",
       "      <td>-0.008983</td>\n",
       "      <td>0.014724</td>\n",
       "      <td>2.69</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>-1.358354</td>\n",
       "      <td>-1.340163</td>\n",
       "      <td>1.773209</td>\n",
       "      <td>0.379780</td>\n",
       "      <td>-0.503198</td>\n",
       "      <td>1.800499</td>\n",
       "      <td>0.791461</td>\n",
       "      <td>0.247676</td>\n",
       "      <td>-1.514654</td>\n",
       "      <td>...</td>\n",
       "      <td>0.247998</td>\n",
       "      <td>0.771679</td>\n",
       "      <td>0.909412</td>\n",
       "      <td>-0.689281</td>\n",
       "      <td>-0.327642</td>\n",
       "      <td>-0.139097</td>\n",
       "      <td>-0.055353</td>\n",
       "      <td>-0.059752</td>\n",
       "      <td>378.66</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.966272</td>\n",
       "      <td>-0.185226</td>\n",
       "      <td>1.792993</td>\n",
       "      <td>-0.863291</td>\n",
       "      <td>-0.010309</td>\n",
       "      <td>1.247203</td>\n",
       "      <td>0.237609</td>\n",
       "      <td>0.377436</td>\n",
       "      <td>-1.387024</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.108300</td>\n",
       "      <td>0.005274</td>\n",
       "      <td>-0.190321</td>\n",
       "      <td>-1.175575</td>\n",
       "      <td>0.647376</td>\n",
       "      <td>-0.221929</td>\n",
       "      <td>0.062723</td>\n",
       "      <td>0.061458</td>\n",
       "      <td>123.50</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.0</td>\n",
       "      <td>-1.158233</td>\n",
       "      <td>0.877737</td>\n",
       "      <td>1.548718</td>\n",
       "      <td>0.403034</td>\n",
       "      <td>-0.407193</td>\n",
       "      <td>0.095921</td>\n",
       "      <td>0.592941</td>\n",
       "      <td>-0.270533</td>\n",
       "      <td>0.817739</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.009431</td>\n",
       "      <td>0.798278</td>\n",
       "      <td>-0.137458</td>\n",
       "      <td>0.141267</td>\n",
       "      <td>-0.206010</td>\n",
       "      <td>0.502292</td>\n",
       "      <td>0.219422</td>\n",
       "      <td>0.215153</td>\n",
       "      <td>69.99</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284802</th>\n",
       "      <td>172786.0</td>\n",
       "      <td>-11.881118</td>\n",
       "      <td>10.071785</td>\n",
       "      <td>-9.834783</td>\n",
       "      <td>-2.066656</td>\n",
       "      <td>-5.364473</td>\n",
       "      <td>-2.606837</td>\n",
       "      <td>-4.918215</td>\n",
       "      <td>7.305334</td>\n",
       "      <td>1.914428</td>\n",
       "      <td>...</td>\n",
       "      <td>0.213454</td>\n",
       "      <td>0.111864</td>\n",
       "      <td>1.014480</td>\n",
       "      <td>-0.509348</td>\n",
       "      <td>1.436807</td>\n",
       "      <td>0.250034</td>\n",
       "      <td>0.943651</td>\n",
       "      <td>0.823731</td>\n",
       "      <td>0.77</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284803</th>\n",
       "      <td>172787.0</td>\n",
       "      <td>-0.732789</td>\n",
       "      <td>-0.055080</td>\n",
       "      <td>2.035030</td>\n",
       "      <td>-0.738589</td>\n",
       "      <td>0.868229</td>\n",
       "      <td>1.058415</td>\n",
       "      <td>0.024330</td>\n",
       "      <td>0.294869</td>\n",
       "      <td>0.584800</td>\n",
       "      <td>...</td>\n",
       "      <td>0.214205</td>\n",
       "      <td>0.924384</td>\n",
       "      <td>0.012463</td>\n",
       "      <td>-1.016226</td>\n",
       "      <td>-0.606624</td>\n",
       "      <td>-0.395255</td>\n",
       "      <td>0.068472</td>\n",
       "      <td>-0.053527</td>\n",
       "      <td>24.79</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284804</th>\n",
       "      <td>172788.0</td>\n",
       "      <td>1.919565</td>\n",
       "      <td>-0.301254</td>\n",
       "      <td>-3.249640</td>\n",
       "      <td>-0.557828</td>\n",
       "      <td>2.630515</td>\n",
       "      <td>3.031260</td>\n",
       "      <td>-0.296827</td>\n",
       "      <td>0.708417</td>\n",
       "      <td>0.432454</td>\n",
       "      <td>...</td>\n",
       "      <td>0.232045</td>\n",
       "      <td>0.578229</td>\n",
       "      <td>-0.037501</td>\n",
       "      <td>0.640134</td>\n",
       "      <td>0.265745</td>\n",
       "      <td>-0.087371</td>\n",
       "      <td>0.004455</td>\n",
       "      <td>-0.026561</td>\n",
       "      <td>67.88</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284805</th>\n",
       "      <td>172788.0</td>\n",
       "      <td>-0.240440</td>\n",
       "      <td>0.530483</td>\n",
       "      <td>0.702510</td>\n",
       "      <td>0.689799</td>\n",
       "      <td>-0.377961</td>\n",
       "      <td>0.623708</td>\n",
       "      <td>-0.686180</td>\n",
       "      <td>0.679145</td>\n",
       "      <td>0.392087</td>\n",
       "      <td>...</td>\n",
       "      <td>0.265245</td>\n",
       "      <td>0.800049</td>\n",
       "      <td>-0.163298</td>\n",
       "      <td>0.123205</td>\n",
       "      <td>-0.569159</td>\n",
       "      <td>0.546668</td>\n",
       "      <td>0.108821</td>\n",
       "      <td>0.104533</td>\n",
       "      <td>10.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284806</th>\n",
       "      <td>172792.0</td>\n",
       "      <td>-0.533413</td>\n",
       "      <td>-0.189733</td>\n",
       "      <td>0.703337</td>\n",
       "      <td>-0.506271</td>\n",
       "      <td>-0.012546</td>\n",
       "      <td>-0.649617</td>\n",
       "      <td>1.577006</td>\n",
       "      <td>-0.414650</td>\n",
       "      <td>0.486180</td>\n",
       "      <td>...</td>\n",
       "      <td>0.261057</td>\n",
       "      <td>0.643078</td>\n",
       "      <td>0.376777</td>\n",
       "      <td>0.008797</td>\n",
       "      <td>-0.473649</td>\n",
       "      <td>-0.818267</td>\n",
       "      <td>-0.002415</td>\n",
       "      <td>0.013649</td>\n",
       "      <td>217.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Time         V1         V2        V3        V4        V5  \\\n",
       "0            0.0  -1.359807  -0.072781  2.536347  1.378155 -0.338321   \n",
       "1            0.0   1.191857   0.266151  0.166480  0.448154  0.060018   \n",
       "2            1.0  -1.358354  -1.340163  1.773209  0.379780 -0.503198   \n",
       "3            1.0  -0.966272  -0.185226  1.792993 -0.863291 -0.010309   \n",
       "4            2.0  -1.158233   0.877737  1.548718  0.403034 -0.407193   \n",
       "284802  172786.0 -11.881118  10.071785 -9.834783 -2.066656 -5.364473   \n",
       "284803  172787.0  -0.732789  -0.055080  2.035030 -0.738589  0.868229   \n",
       "284804  172788.0   1.919565  -0.301254 -3.249640 -0.557828  2.630515   \n",
       "284805  172788.0  -0.240440   0.530483  0.702510  0.689799 -0.377961   \n",
       "284806  172792.0  -0.533413  -0.189733  0.703337 -0.506271 -0.012546   \n",
       "\n",
       "              V6        V7        V8        V9  ...       V21       V22  \\\n",
       "0       0.462388  0.239599  0.098698  0.363787  ... -0.018307  0.277838   \n",
       "1      -0.082361 -0.078803  0.085102 -0.255425  ... -0.225775 -0.638672   \n",
       "2       1.800499  0.791461  0.247676 -1.514654  ...  0.247998  0.771679   \n",
       "3       1.247203  0.237609  0.377436 -1.387024  ... -0.108300  0.005274   \n",
       "4       0.095921  0.592941 -0.270533  0.817739  ... -0.009431  0.798278   \n",
       "284802 -2.606837 -4.918215  7.305334  1.914428  ...  0.213454  0.111864   \n",
       "284803  1.058415  0.024330  0.294869  0.584800  ...  0.214205  0.924384   \n",
       "284804  3.031260 -0.296827  0.708417  0.432454  ...  0.232045  0.578229   \n",
       "284805  0.623708 -0.686180  0.679145  0.392087  ...  0.265245  0.800049   \n",
       "284806 -0.649617  1.577006 -0.414650  0.486180  ...  0.261057  0.643078   \n",
       "\n",
       "             V23       V24       V25       V26       V27       V28  Amount  \\\n",
       "0      -0.110474  0.066928  0.128539 -0.189115  0.133558 -0.021053  149.62   \n",
       "1       0.101288 -0.339846  0.167170  0.125895 -0.008983  0.014724    2.69   \n",
       "2       0.909412 -0.689281 -0.327642 -0.139097 -0.055353 -0.059752  378.66   \n",
       "3      -0.190321 -1.175575  0.647376 -0.221929  0.062723  0.061458  123.50   \n",
       "4      -0.137458  0.141267 -0.206010  0.502292  0.219422  0.215153   69.99   \n",
       "284802  1.014480 -0.509348  1.436807  0.250034  0.943651  0.823731    0.77   \n",
       "284803  0.012463 -1.016226 -0.606624 -0.395255  0.068472 -0.053527   24.79   \n",
       "284804 -0.037501  0.640134  0.265745 -0.087371  0.004455 -0.026561   67.88   \n",
       "284805 -0.163298  0.123205 -0.569159  0.546668  0.108821  0.104533   10.00   \n",
       "284806  0.376777  0.008797 -0.473649 -0.818267 -0.002415  0.013649  217.00   \n",
       "\n",
       "        Class  \n",
       "0           0  \n",
       "1           0  \n",
       "2           0  \n",
       "3           0  \n",
       "4           0  \n",
       "284802      0  \n",
       "284803      0  \n",
       "284804      0  \n",
       "284805      0  \n",
       "284806      0  \n",
       "\n",
       "[10 rows x 31 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#read the dataset\n",
    "dataset = pd.read_csv(\"creditcard.csv\")\n",
    "# read the first 5 and last 5 rows of the data\n",
    "dataset.head().append(dataset.tail())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fraudulent Cases: 492\n",
      "Valid Transactions: 284315\n",
      "Proportion of Fraudulent Cases: 0.001727485630620034\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel=' '>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# check for relative proportion \n",
    "print(\"Fraudulent Cases: \" + str(len(dataset[dataset[\"Class\"] == 1])))\n",
    "print(\"Valid Transactions: \" + str(len(dataset[dataset[\"Class\"] == 0])))\n",
    "print(\"Proportion of Fraudulent Cases: \" + str(len(dataset[dataset[\"Class\"] == 1])/ dataset.shape[0]))\n",
    "\n",
    "# To see how small are the number of Fraud transactions\n",
    "data_p = dataset.copy()\n",
    "data_p[\" \"] = np.where(data_p[\"Class\"] == 1 ,  \"Fraud\", \"Genuine\")\n",
    "\n",
    "# plot a pie chart\n",
    "data_p[\" \"].value_counts().plot(kind=\"pie\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1296x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the named features \n",
    "f, axes = plt.subplots(1, 2, figsize=(18,4), sharex = True)\n",
    "\n",
    "amount_value = dataset['Amount'].values # values\n",
    "time_value = dataset['Time'].values # values\n",
    "\n",
    "sns.distplot(amount_value, hist=False, color=\"m\", kde_kws={\"shade\": True}, ax=axes[0]).set_title('Distribution of Amount')\n",
    "sns.distplot(time_value, hist=False, color=\"m\", kde_kws={\"shade\": True}, ax=axes[1]).set_title('Distribution of Time')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average Amount in a Fraudulent Transaction: 122.21132113821139\n",
      "Average Amount in a Valid Transaction: 88.29102242231328\n"
     ]
    }
   ],
   "source": [
    "print(\"Average Amount in a Fraudulent Transaction: \" + str(dataset[dataset[\"Class\"] == 1][\"Amount\"].mean()))\n",
    "print(\"Average Amount in a Valid Transaction: \" + str(dataset[dataset[\"Class\"] == 0][\"Amount\"].mean()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Summary of the feature - Amount\n",
      "-------------------------------\n",
      "count    284807.000000\n",
      "mean         88.349619\n",
      "std         250.120109\n",
      "min           0.000000\n",
      "25%           5.600000\n",
      "50%          22.000000\n",
      "75%          77.165000\n",
      "max       25691.160000\n",
      "Name: Amount, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(\"Summary of the feature - Amount\" + \"\\n-------------------------------\")\n",
    "print(dataset[\"Amount\"].describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "C:\\Users\\STRIX\\AppData\\Local\\Programs\\Python\\Python38\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x8640 with 30 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Reorder the columns Amount, Time then the rest\n",
    "data_plot = dataset.copy()\n",
    "amount = data_plot['Amount']\n",
    "data_plot.drop(labels=['Amount'], axis=1, inplace = True)\n",
    "data_plot.insert(0, 'Amount', amount)\n",
    "\n",
    "# Plot the distributions of the features\n",
    "columns = data_plot.iloc[:,0:30].columns\n",
    "plt.figure(figsize=(12,30*4))\n",
    "grids = gridspec.GridSpec(30, 1)\n",
    "for grid, index in enumerate(data_plot[columns]):\n",
    " ax = plt.subplot(grids[grid])\n",
    " sns.distplot(data_plot[index][data_plot.Class == 1], hist=False, kde_kws={\"shade\": True}, bins=50)\n",
    " sns.distplot(data_plot[index][data_plot.Class == 0], hist=False, kde_kws={\"shade\": True}, bins=50)\n",
    " ax.set_xlabel(\"\")\n",
    " ax.set_title(\"Distribution of Column: \"  + str(index))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Non-missing values: 284807\n",
      "Missing values: 0\n"
     ]
    }
   ],
   "source": [
    "# check for null values\n",
    "dataset.isnull().shape[0]\n",
    "print(\"Non-missing values: \" + str(dataset.isnull().shape[0]))\n",
    "print(\"Missing values: \" + str(dataset.shape[0] - dataset.isnull().shape[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>V1</th>\n",
       "      <th>V2</th>\n",
       "      <th>V3</th>\n",
       "      <th>V4</th>\n",
       "      <th>V5</th>\n",
       "      <th>V6</th>\n",
       "      <th>V7</th>\n",
       "      <th>V8</th>\n",
       "      <th>V9</th>\n",
       "      <th>...</th>\n",
       "      <th>V21</th>\n",
       "      <th>V22</th>\n",
       "      <th>V23</th>\n",
       "      <th>V24</th>\n",
       "      <th>V25</th>\n",
       "      <th>V26</th>\n",
       "      <th>V27</th>\n",
       "      <th>V28</th>\n",
       "      <th>Amount</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.994983</td>\n",
       "      <td>-1.359807</td>\n",
       "      <td>-0.072781</td>\n",
       "      <td>2.536347</td>\n",
       "      <td>1.378155</td>\n",
       "      <td>-0.338321</td>\n",
       "      <td>0.462388</td>\n",
       "      <td>0.239599</td>\n",
       "      <td>0.098698</td>\n",
       "      <td>0.363787</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.018307</td>\n",
       "      <td>0.277838</td>\n",
       "      <td>-0.110474</td>\n",
       "      <td>0.066928</td>\n",
       "      <td>0.128539</td>\n",
       "      <td>-0.189115</td>\n",
       "      <td>0.133558</td>\n",
       "      <td>-0.021053</td>\n",
       "      <td>1.783274</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.994983</td>\n",
       "      <td>1.191857</td>\n",
       "      <td>0.266151</td>\n",
       "      <td>0.166480</td>\n",
       "      <td>0.448154</td>\n",
       "      <td>0.060018</td>\n",
       "      <td>-0.082361</td>\n",
       "      <td>-0.078803</td>\n",
       "      <td>0.085102</td>\n",
       "      <td>-0.255425</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.225775</td>\n",
       "      <td>-0.638672</td>\n",
       "      <td>0.101288</td>\n",
       "      <td>-0.339846</td>\n",
       "      <td>0.167170</td>\n",
       "      <td>0.125895</td>\n",
       "      <td>-0.008983</td>\n",
       "      <td>0.014724</td>\n",
       "      <td>-0.269825</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.994972</td>\n",
       "      <td>-1.358354</td>\n",
       "      <td>-1.340163</td>\n",
       "      <td>1.773209</td>\n",
       "      <td>0.379780</td>\n",
       "      <td>-0.503198</td>\n",
       "      <td>1.800499</td>\n",
       "      <td>0.791461</td>\n",
       "      <td>0.247676</td>\n",
       "      <td>-1.514654</td>\n",
       "      <td>...</td>\n",
       "      <td>0.247998</td>\n",
       "      <td>0.771679</td>\n",
       "      <td>0.909412</td>\n",
       "      <td>-0.689281</td>\n",
       "      <td>-0.327642</td>\n",
       "      <td>-0.139097</td>\n",
       "      <td>-0.055353</td>\n",
       "      <td>-0.059752</td>\n",
       "      <td>4.983721</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.994972</td>\n",
       "      <td>-0.966272</td>\n",
       "      <td>-0.185226</td>\n",
       "      <td>1.792993</td>\n",
       "      <td>-0.863291</td>\n",
       "      <td>-0.010309</td>\n",
       "      <td>1.247203</td>\n",
       "      <td>0.237609</td>\n",
       "      <td>0.377436</td>\n",
       "      <td>-1.387024</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.108300</td>\n",
       "      <td>0.005274</td>\n",
       "      <td>-0.190321</td>\n",
       "      <td>-1.175575</td>\n",
       "      <td>0.647376</td>\n",
       "      <td>-0.221929</td>\n",
       "      <td>0.062723</td>\n",
       "      <td>0.061458</td>\n",
       "      <td>1.418291</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.994960</td>\n",
       "      <td>-1.158233</td>\n",
       "      <td>0.877737</td>\n",
       "      <td>1.548718</td>\n",
       "      <td>0.403034</td>\n",
       "      <td>-0.407193</td>\n",
       "      <td>0.095921</td>\n",
       "      <td>0.592941</td>\n",
       "      <td>-0.270533</td>\n",
       "      <td>0.817739</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.009431</td>\n",
       "      <td>0.798278</td>\n",
       "      <td>-0.137458</td>\n",
       "      <td>0.141267</td>\n",
       "      <td>-0.206010</td>\n",
       "      <td>0.502292</td>\n",
       "      <td>0.219422</td>\n",
       "      <td>0.215153</td>\n",
       "      <td>0.670579</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284802</th>\n",
       "      <td>1.034951</td>\n",
       "      <td>-11.881118</td>\n",
       "      <td>10.071785</td>\n",
       "      <td>-9.834783</td>\n",
       "      <td>-2.066656</td>\n",
       "      <td>-5.364473</td>\n",
       "      <td>-2.606837</td>\n",
       "      <td>-4.918215</td>\n",
       "      <td>7.305334</td>\n",
       "      <td>1.914428</td>\n",
       "      <td>...</td>\n",
       "      <td>0.213454</td>\n",
       "      <td>0.111864</td>\n",
       "      <td>1.014480</td>\n",
       "      <td>-0.509348</td>\n",
       "      <td>1.436807</td>\n",
       "      <td>0.250034</td>\n",
       "      <td>0.943651</td>\n",
       "      <td>0.823731</td>\n",
       "      <td>-0.296653</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284803</th>\n",
       "      <td>1.034963</td>\n",
       "      <td>-0.732789</td>\n",
       "      <td>-0.055080</td>\n",
       "      <td>2.035030</td>\n",
       "      <td>-0.738589</td>\n",
       "      <td>0.868229</td>\n",
       "      <td>1.058415</td>\n",
       "      <td>0.024330</td>\n",
       "      <td>0.294869</td>\n",
       "      <td>0.584800</td>\n",
       "      <td>...</td>\n",
       "      <td>0.214205</td>\n",
       "      <td>0.924384</td>\n",
       "      <td>0.012463</td>\n",
       "      <td>-1.016226</td>\n",
       "      <td>-0.606624</td>\n",
       "      <td>-0.395255</td>\n",
       "      <td>0.068472</td>\n",
       "      <td>-0.053527</td>\n",
       "      <td>0.038986</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284804</th>\n",
       "      <td>1.034975</td>\n",
       "      <td>1.919565</td>\n",
       "      <td>-0.301254</td>\n",
       "      <td>-3.249640</td>\n",
       "      <td>-0.557828</td>\n",
       "      <td>2.630515</td>\n",
       "      <td>3.031260</td>\n",
       "      <td>-0.296827</td>\n",
       "      <td>0.708417</td>\n",
       "      <td>0.432454</td>\n",
       "      <td>...</td>\n",
       "      <td>0.232045</td>\n",
       "      <td>0.578229</td>\n",
       "      <td>-0.037501</td>\n",
       "      <td>0.640134</td>\n",
       "      <td>0.265745</td>\n",
       "      <td>-0.087371</td>\n",
       "      <td>0.004455</td>\n",
       "      <td>-0.026561</td>\n",
       "      <td>0.641096</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284805</th>\n",
       "      <td>1.034975</td>\n",
       "      <td>-0.240440</td>\n",
       "      <td>0.530483</td>\n",
       "      <td>0.702510</td>\n",
       "      <td>0.689799</td>\n",
       "      <td>-0.377961</td>\n",
       "      <td>0.623708</td>\n",
       "      <td>-0.686180</td>\n",
       "      <td>0.679145</td>\n",
       "      <td>0.392087</td>\n",
       "      <td>...</td>\n",
       "      <td>0.265245</td>\n",
       "      <td>0.800049</td>\n",
       "      <td>-0.163298</td>\n",
       "      <td>0.123205</td>\n",
       "      <td>-0.569159</td>\n",
       "      <td>0.546668</td>\n",
       "      <td>0.108821</td>\n",
       "      <td>0.104533</td>\n",
       "      <td>-0.167680</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284806</th>\n",
       "      <td>1.035022</td>\n",
       "      <td>-0.533413</td>\n",
       "      <td>-0.189733</td>\n",
       "      <td>0.703337</td>\n",
       "      <td>-0.506271</td>\n",
       "      <td>-0.012546</td>\n",
       "      <td>-0.649617</td>\n",
       "      <td>1.577006</td>\n",
       "      <td>-0.414650</td>\n",
       "      <td>0.486180</td>\n",
       "      <td>...</td>\n",
       "      <td>0.261057</td>\n",
       "      <td>0.643078</td>\n",
       "      <td>0.376777</td>\n",
       "      <td>0.008797</td>\n",
       "      <td>-0.473649</td>\n",
       "      <td>-0.818267</td>\n",
       "      <td>-0.002415</td>\n",
       "      <td>0.013649</td>\n",
       "      <td>2.724796</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Time         V1         V2        V3        V4        V5  \\\n",
       "0      -0.994983  -1.359807  -0.072781  2.536347  1.378155 -0.338321   \n",
       "1      -0.994983   1.191857   0.266151  0.166480  0.448154  0.060018   \n",
       "2      -0.994972  -1.358354  -1.340163  1.773209  0.379780 -0.503198   \n",
       "3      -0.994972  -0.966272  -0.185226  1.792993 -0.863291 -0.010309   \n",
       "4      -0.994960  -1.158233   0.877737  1.548718  0.403034 -0.407193   \n",
       "284802  1.034951 -11.881118  10.071785 -9.834783 -2.066656 -5.364473   \n",
       "284803  1.034963  -0.732789  -0.055080  2.035030 -0.738589  0.868229   \n",
       "284804  1.034975   1.919565  -0.301254 -3.249640 -0.557828  2.630515   \n",
       "284805  1.034975  -0.240440   0.530483  0.702510  0.689799 -0.377961   \n",
       "284806  1.035022  -0.533413  -0.189733  0.703337 -0.506271 -0.012546   \n",
       "\n",
       "              V6        V7        V8        V9  ...       V21       V22  \\\n",
       "0       0.462388  0.239599  0.098698  0.363787  ... -0.018307  0.277838   \n",
       "1      -0.082361 -0.078803  0.085102 -0.255425  ... -0.225775 -0.638672   \n",
       "2       1.800499  0.791461  0.247676 -1.514654  ...  0.247998  0.771679   \n",
       "3       1.247203  0.237609  0.377436 -1.387024  ... -0.108300  0.005274   \n",
       "4       0.095921  0.592941 -0.270533  0.817739  ... -0.009431  0.798278   \n",
       "284802 -2.606837 -4.918215  7.305334  1.914428  ...  0.213454  0.111864   \n",
       "284803  1.058415  0.024330  0.294869  0.584800  ...  0.214205  0.924384   \n",
       "284804  3.031260 -0.296827  0.708417  0.432454  ...  0.232045  0.578229   \n",
       "284805  0.623708 -0.686180  0.679145  0.392087  ...  0.265245  0.800049   \n",
       "284806 -0.649617  1.577006 -0.414650  0.486180  ...  0.261057  0.643078   \n",
       "\n",
       "             V23       V24       V25       V26       V27       V28    Amount  \\\n",
       "0      -0.110474  0.066928  0.128539 -0.189115  0.133558 -0.021053  1.783274   \n",
       "1       0.101288 -0.339846  0.167170  0.125895 -0.008983  0.014724 -0.269825   \n",
       "2       0.909412 -0.689281 -0.327642 -0.139097 -0.055353 -0.059752  4.983721   \n",
       "3      -0.190321 -1.175575  0.647376 -0.221929  0.062723  0.061458  1.418291   \n",
       "4      -0.137458  0.141267 -0.206010  0.502292  0.219422  0.215153  0.670579   \n",
       "284802  1.014480 -0.509348  1.436807  0.250034  0.943651  0.823731 -0.296653   \n",
       "284803  0.012463 -1.016226 -0.606624 -0.395255  0.068472 -0.053527  0.038986   \n",
       "284804 -0.037501  0.640134  0.265745 -0.087371  0.004455 -0.026561  0.641096   \n",
       "284805 -0.163298  0.123205 -0.569159  0.546668  0.108821  0.104533 -0.167680   \n",
       "284806  0.376777  0.008797 -0.473649 -0.818267 -0.002415  0.013649  2.724796   \n",
       "\n",
       "        Class  \n",
       "0           0  \n",
       "1           0  \n",
       "2           0  \n",
       "3           0  \n",
       "4           0  \n",
       "284802      0  \n",
       "284803      0  \n",
       "284804      0  \n",
       "284805      0  \n",
       "284806      0  \n",
       "\n",
       "[10 rows x 31 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import RobustScaler\n",
    "scaler = RobustScaler().fit(dataset[[\"Time\", \"Amount\"]])\n",
    "dataset[[\"Time\", \"Amount\"]] = scaler.transform(dataset[[\"Time\", \"Amount\"]])\n",
    "\n",
    "dataset.head().append(dataset.tail())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((227845, 30), (56962, 30), (227845,), (56962,))"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Separate response and features  Undersampling before cross validation will lead to overfiting\n",
    "y = dataset[\"Class\"] # target \n",
    "X = dataset.iloc[:,0:30]\n",
    "\n",
    "# Use SKLEARN for the split\n",
    "from sklearn.model_selection import train_test_split \n",
    "X_train, X_test, y_train, y_test = train_test_split( \n",
    "        X, y, test_size = 0.2, random_state = 42)\n",
    "\n",
    "X_train.shape, X_test.shape, y_train.shape, y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create the cross validation framework \n",
    "from sklearn.model_selection import StratifiedKFold\n",
    "from sklearn.model_selection import GridSearchCV, cross_val_score, RandomizedSearchCV\n",
    "\n",
    "kf = StratifiedKFold(n_splits=5, random_state = None, shuffle = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import the imbalance Learn module\n",
    "from imblearn.pipeline import make_pipeline ## Create a Pipeline using the provided estimators .\n",
    "from imblearn.under_sampling import NearMiss  ## perform Under-sampling  based on NearMiss methods. \n",
    "from imblearn.over_sampling import SMOTE  ## PerformOver-sampling class that uses SMOTE. \n",
    "# import the metrics\n",
    "from sklearn.metrics import roc_curve, roc_auc_score, accuracy_score, recall_score, precision_score, f1_score\n",
    "# Import the classifiers\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The accuracy is 0.9995962220427653\n",
      "The precision is 0.9746835443037974\n",
      "The recall is 0.7857142857142857\n",
      "The F1 score is 0.8700564971751412\n"
     ]
    }
   ],
   "source": [
    "# Using SKLEARN module for random forest\n",
    "from sklearn.ensemble import RandomForestClassifier \n",
    "\n",
    "# Fit and predict\n",
    "rfc = RandomForestClassifier() \n",
    "rfc.fit(X_train, y_train) \n",
    "y_pred = rfc.predict(X_test)\n",
    "\n",
    "# For the performance let's use some metrics from SKLEARN module\n",
    "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score\n",
    "  \n",
    "print(\"The accuracy is\", accuracy_score(y_test, y_pred)) \n",
    "print(\"The precision is\", precision_score(y_test, y_pred))\n",
    "print(\"The recall is\", recall_score(y_test, y_pred))\n",
    "print(\"The F1 score is\", f1_score(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_model_best_estimator_and_metrics(estimator, params, kf=kf, X_train=X_train, \n",
    "                                         y_train=y_train, X_test=X_test, \n",
    "                                         y_test=y_test, is_grid_search=True, \n",
    "                                         sampling=NearMiss(), scoring=\"f1\", \n",
    "                                         n_jobs=2):\n",
    "    if sampling is None:\n",
    "        # make the pipeline of only the estimator, just so the remaining code will work fine\n",
    "        pipeline = make_pipeline(estimator)\n",
    "    else:\n",
    "        # make the pipeline of over/undersampling and estimator\n",
    "        pipeline = make_pipeline(sampling, estimator)\n",
    "    # get the estimator name\n",
    "    estimator_name = estimator.__class__.__name__.lower()\n",
    "    # construct the parameters for grid/random search cv\n",
    "    new_params = {f'{estimator_name}__{key}': params[key] for key in params}\n",
    "    if is_grid_search:\n",
    "        # grid search instead of randomized search\n",
    "        search = GridSearchCV(pipeline, param_grid=new_params, cv=kf, scoring=scoring, return_train_score=True, n_jobs=n_jobs, verbose=2)\n",
    "    else:\n",
    "        # randomized search\n",
    "        search = RandomizedSearchCV(pipeline, param_distributions=new_params, \n",
    "                                    cv=kf, scoring=scoring, return_train_score=True,\n",
    "                                    n_jobs=n_jobs, verbose=1)\n",
    "    # fit the model\n",
    "    search.fit(X_train, y_train)\n",
    "    cv_score = cross_val_score(search, X_train, y_train, scoring=scoring, cv=kf)\n",
    "    # make predictions on the test data\n",
    "    y_pred = search.best_estimator_.named_steps[estimator_name].predict(X_test)\n",
    "    # calculate the metrics: recall, accuracy, F1 score, etc.\n",
    "    recall = recall_score(y_test, y_pred)\n",
    "    accuracy = accuracy_score(y_test, y_pred)\n",
    "    f1 = f1_score(y_test, y_pred)\n",
    "    y_proba = search.best_estimator_.named_steps[estimator_name].predict_proba(X_test)[::, 1]\n",
    "    fpr, tpr, _ = roc_curve(y_test, y_proba)\n",
    "    auc = roc_auc_score(y_test, y_proba)\n",
    "    # return the best estimator along with the metrics\n",
    "    return {\n",
    "        \"best_estimator\": search.best_estimator_,\n",
    "        \"estimator_name\": estimator_name,\n",
    "        \"cv_score\": cv_score,\n",
    "        \"recall\": recall,\n",
    "        \"accuracy\": accuracy,\n",
    "        \"f1_score\": f1,\n",
    "        \"fpr\": fpr,\n",
    "        \"tpr\": tpr,\n",
    "        \"auc\": auc,\n",
    "    }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 12 candidates, totalling 60 fits\n",
      "Fitting 5 folds for each of 12 candidates, totalling 60 fits\n",
      "Fitting 5 folds for each of 12 candidates, totalling 60 fits\n",
      "Fitting 5 folds for each of 12 candidates, totalling 60 fits\n",
      "Fitting 5 folds for each of 12 candidates, totalling 60 fits\n",
      "Fitting 5 folds for each of 12 candidates, totalling 60 fits\n",
      "===randomforestclassifier===\n",
      "Model: Pipeline(steps=[('randomforestclassifier',\n",
      "                 RandomForestClassifier(max_depth=12, n_estimators=200,\n",
      "                                        random_state=13))])\n",
      "Accuracy: 0.9995962220427653\n",
      "Recall: 0.7857142857142857\n",
      "F1 Score: 0.8700564971751412\n"
     ]
    }
   ],
   "source": [
    "# Cumulatively create a table for the ROC curve\n",
    "## Create the dataframe\n",
    "res_table = pd.DataFrame(columns=['classifiers', 'fpr','tpr','auc'])\n",
    "\n",
    "rfc_results = get_model_best_estimator_and_metrics(\n",
    "    estimator=RandomForestClassifier(),\n",
    "    params={\n",
    "      'n_estimators': [50, 100, 200],\n",
    "      'max_depth': [4, 6, 10, 12],\n",
    "      'random_state': [13]\n",
    "    },\n",
    "    sampling=None,\n",
    "    n_jobs=3,\n",
    ")\n",
    "res_table = res_table.append({'classifiers': rfc_results[\"estimator_name\"],\n",
    "                                        'fpr': rfc_results[\"fpr\"], \n",
    "                                        'tpr': rfc_results[\"tpr\"], \n",
    "                                        'auc': rfc_results[\"auc\"]\n",
    "                              }, ignore_index=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===randomforestclassifier===\n",
      "Model: Pipeline(steps=[('randomforestclassifier',\n",
      "                 RandomForestClassifier(max_depth=12, n_estimators=200,\n",
      "                                        random_state=13))])\n",
      "Accuracy: 0.9995962220427653\n",
      "Recall: 0.7857142857142857\n",
      "F1 Score: 0.8700564971751412\n"
     ]
    }
   ],
   "source": [
    "print(f\"==={rfc_results['estimator_name']}===\")\n",
    "print(\"Model:\", rfc_results['best_estimator'])\n",
    "print(\"Accuracy:\", rfc_results['accuracy'])\n",
    "print(\"Recall:\", rfc_results['recall'])\n",
    "print(\"F1 Score:\", rfc_results['f1_score'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "logreg_us_results = get_model_best_estimator_and_metrics(\n",
    "    estimator=LogisticRegression(),\n",
    "    params={\"penalty\": ['l1', 'l2'], \n",
    "                  'C': [ 0.01, 0.1, 1, 100], \n",
    "                  'solver' : ['liblinear']},\n",
    "    sampling=NearMiss(),\n",
    "    n_jobs=3,\n",
    ")\n",
    "print(f\"==={logreg_us_results['estimator_name']}===\")\n",
    "print(\"Model:\", logreg_us_results['best_estimator'])\n",
    "print(\"Accuracy:\", logreg_us_results['accuracy'])\n",
    "print(\"Recall:\", logreg_us_results['recall'])\n",
    "print(\"F1 Score:\", logreg_us_results['f1_score'])\n",
    "res_table = res_table.append({'classifiers': logreg_us_results[\"estimator_name\"],\n",
    "                                        'fpr': logreg_us_results[\"fpr\"], \n",
    "                                        'tpr': logreg_us_results[\"tpr\"], \n",
    "                                        'auc': logreg_us_results[\"auc\"]\n",
    "                              }, ignore_index=True)\n",
    "res_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Plot the ROC curve for undersampling\n",
    "res_table.set_index('classifiers', inplace=True)\n",
    "fig = plt.figure(figsize=(17,7))\n",
    "\n",
    "for j in res_table.index:\n",
    "    plt.plot(res_table.loc[j]['fpr'], \n",
    "             res_table.loc[j]['tpr'], \n",
    "             label=\"{}, AUC={:.3f}\".format(j, res_table.loc[j]['auc']))\n",
    "    \n",
    "plt.plot([0,1], [0,1], color='orange', linestyle='--')\n",
    "plt.xticks(np.arange(0.0, 1.1, step=0.1))\n",
    "plt.xlabel(\"Positive Rate(False)\", fontsize=15)\n",
    "plt.yticks(np.arange(0.0, 1.1, step=0.1))\n",
    "plt.ylabel(\"Positive Rate(True)\", fontsize=15)\n",
    "plt.title('Analysis for Oversampling', fontweight='bold', fontsize=15)\n",
    "plt.legend(prop={'size':13}, loc='lower right')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cumulatively create a table for the ROC curve\n",
    "res_table = pd.DataFrame(columns=['classifiers', 'fpr','tpr','auc'])\n",
    "\n",
    "lin_reg_os_results = get_model_best_estimator_and_metrics(\n",
    "    estimator=LogisticRegression(),\n",
    "    params={\"penalty\": ['l1', 'l2'], 'C': [ 0.01, 0.1, 1, 100, 100], \n",
    "            'solver' : ['liblinear']},\n",
    "    sampling=SMOTE(random_state=42),\n",
    "    scoring=\"f1\",\n",
    "    is_grid_search=False,\n",
    "    n_jobs=2,\n",
    ")\n",
    "print(f\"==={lin_reg_os_results['estimator_name']}===\")\n",
    "print(\"Model:\", lin_reg_os_results['best_estimator'])\n",
    "print(\"Accuracy:\", lin_reg_os_results['accuracy'])\n",
    "print(\"Recall:\", lin_reg_os_results['recall'])\n",
    "print(\"F1 Score:\", lin_reg_os_results['f1_score'])\n",
    "res_table = res_table.append({'classifiers': lin_reg_os_results[\"estimator_name\"],\n",
    "                                        'fpr': lin_reg_os_results[\"fpr\"], \n",
    "                                        'tpr': lin_reg_os_results[\"tpr\"], \n",
    "                                        'auc': lin_reg_os_results[\"auc\"]\n",
    "                              }, ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# boxplot for two example variables in the dataset\n",
    "\n",
    "f, axes = plt.subplots(1, 2, figsize=(18,4), sharex = True)\n",
    "\n",
    "variable1 = dataset[\"V1\"]\n",
    "variable2 = dataset[\"V2\"]\n",
    "\n",
    "sns.boxplot(variable1, color=\"m\", ax=axes[0]).set_title('Boxplot for V1')\n",
    "sns.boxplot(variable2, color=\"m\", ax=axes[1]).set_title('Boxplot for V2')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Find the IQR for all the feature variables\n",
    "# Please note that we are keeping Class variable also in this evaluation, though we know using this method no observation\n",
    "# be removed based on this variable.\n",
    "\n",
    "quartile1 = dataset.quantile(0.25)\n",
    "quartile3 = dataset.quantile(0.75)\n",
    "\n",
    "IQR = quartile3 - quartile1\n",
    "print(IQR)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Remove the outliers \n",
    "constant = 3\n",
    "datavalid = dataset[~((dataset < (quartile1 - constant * IQR)) |(dataset > (quartile3 + constant * IQR))).any(axis=1)]\n",
    "deletedrows = dataset.shape[0] - datavalid.shape[0]\n",
    "print(\"We have removed \" + str(deletedrows) + \" rows from the data as outliers\")"
   ]
  }
 ],
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